Research Fellow (Fluid Mechanics)

National University of Singapore; Singapore; On-site; SGD 20,000 - 60,000; Full time

Job summary

An established industry player is seeking a talented candidate to join their innovative team, focusing on numerical simulations and machine learning applications in fluid mechanics. This role involves conducting advanced simulations to understand flow phenomena and leveraging machine learning techniques to analyze complex data. With a strong emphasis on research and development, this position offers an exciting opportunity to contribute to cutting-edge projects within a prestigious academic environment. If you have a passion for applied mathematics and engineering, this role could be the perfect fit for you.

Qualifications

• PhD in applied mathematics or related fields is mandatory.
• Familiarity with numerical simulations and machine learning is required.

Responsibilities

• Conduct numerical simulations of canonical flows in fluid mechanics.
• Apply machine learning algorithms to analyze flow phenomena.

Skills

Numerical Simulations

Machine Learning

Education

PhD in Applied Mathematics

PhD in Mechanical Engineering

PhD in Computational Physics

Job description

Job Description

• The candidate will conduct numerical simulations of canonical flows in fluid mechanics.

• The candidate will apply machine learning algorithms to analyze the flow phenomena.

Qualifications

• PhD in applied mathematics or mechanical engineering or computational physics.

• Familiarity with numerical simulations and machine learning is required.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department: Mechanical Engineering

Employee Referral Eligible: No

Job requisition ID: 27726